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   "source": [
    "# German BERT\n",
    "![bert_image](https://static.tildacdn.com/tild6438-3730-4164-b266-613634323466/german_bert.png)\n",
    "## Overview\n",
    "**Language model:** bert-base-cased\n",
    "**Language:** German\n",
    "**Training data:** Wiki, OpenLegalData, News (~ 12GB)\n",
    "**Eval data:** Conll03 (NER), GermEval14 (NER), GermEval18 (Classification), GNAD (Classification)\n",
    "**Infrastructure**: 1x TPU v2\n",
    "**Published**: Jun 14th, 2019\n",
    "\n",
    "You can get more details from [Bert in PaddleNLP](https://github.com/PaddlePaddle/PaddleNLP/blob/develop/model_zoo/bert/README.md)。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f407e80e",
   "metadata": {},
   "source": [
    "**Update April 3rd, 2020**: we updated the vocabulary file on deepset's s3 to conform with the default tokenization of punctuation tokens.\n",
    "For details see the related [FARM issue](https://github.com/deepset-ai/FARM/issues/60). If you want to use the old vocab we have also uploaded a deepset/bert-base-german-cased-oldvocab model.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18d2ad8e",
   "metadata": {},
   "source": [
    "## How to use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b80052bd",
   "metadata": {},
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   "source": [
    "!pip install --upgrade paddlenlp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4ea9d4e3",
   "metadata": {},
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   "source": [
    "import paddle\n",
    "from paddlenlp.transformers import AutoModel\n",
    "\n",
    "model = AutoModel.from_pretrained(\"bert-base-german-cased\")\n",
    "input_ids = paddle.randint(100, 200, shape=[1, 20])\n",
    "print(model(input_ids))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d560e75",
   "metadata": {},
   "source": [
    "## Authors\n",
    "- Branden Chan: `branden.chan [at] deepset.ai`\n",
    "- Timo Möller: `timo.moeller [at] deepset.ai`\n",
    "- Malte Pietsch: `malte.pietsch [at] deepset.ai`\n",
    "- Tanay Soni: `tanay.soni [at] deepset.ai`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0e43273",
   "metadata": {},
   "source": [
    "## About us\n",
    "![deepset logo](https://raw.githubusercontent.com/deepset-ai/FARM/master/docs/img/deepset_logo.png)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1b05e60",
   "metadata": {},
   "source": [
    "We bring NLP to the industry via open source!\n",
    "Our focus: Industry specific language models & large scale QA systems.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5196bee9",
   "metadata": {},
   "source": [
    "Some of our work:\n",
    "- [German BERT (aka \"bert-base-german-cased\")](https://deepset.ai/german-bert)\n",
    "- [FARM](https://github.com/deepset-ai/FARM)\n",
    "- [Haystack](https://github.com/deepset-ai/haystack/)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18fe01d5",
   "metadata": {},
   "source": [
    "Get in touch:\n",
    "[Twitter](https://twitter.com/deepset_ai) | [LinkedIn](https://www.linkedin.com/company/deepset-ai/) | [Website](https://deepset.ai)\n",
    "\n",
    "> The model introduction and model weights originate from  https://huggingface.co/bert-base-german-cased  and were converted to PaddlePaddle format for ease of use in PaddleNLP."
   ]
  }
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